Start Here: Why InContextable Exists
And why no amount of better software will fix the real problem.
For decades, organizations have tried to fix their problems by fixing their information systems:
better CRMs
better ERPs
better workflow tools
better dashboards
better collaboration apps
now AI everywhere
And yet… despite all this technology, things still feel harder than they should.
Why?
Because the core assumption behind all of these systems is wrong.
Digital systems treat information as data — stable, explicit, structured, and interchangeable.
But humans treat information as meaning — contextual, tacit, narrative, ambiguous, and dependent on interpretation.
These two models do not match.
And once they collide inside an organization, everything slows down:
misunderstandings
rework
meetings that realign what should never have drifted
asynchronous delays caused by missing pieces of context
contradictory versions of truthtools that store information but lose rationale
The problem isn’t your team. It’s not your tools. It’s not the pace of change.
It’s the mismatch between how information works in systems
and how information works in people.
My dad captured this perfectly years ago:
“The job of management is to decide what’s true in their organization.”
Not eternal truth — just shared truth. Meaning everyone can act on.
But our digital systems don’t store shared truth.
They store fragments.
They store fields.
They store artifacts.
They store outputs divorced from the story that gives them meaning.
Where does the meaning go?
Into the air.
Into people’s heads.
Into assumptions.
Into emails.
Into Slack threads.
Into nowhere.
And then everyone spends enormous effort trying to recreate the missing context.
AI has now exposed how fragile this really is.
It can generate content instantly —
but without context, it just improvises meaning.
We don’t have an information problem.
We have a context problem.
Why InContextable Exists
InContextable exists to fix this — not with more software,
but with small, practical tools that restore the one thing digital systems flatten:
Context.
Context is what makes information actionable.
Context is what makes teams coherent.
Context is what turns data into understanding.
Context is the real operating system of an organization.
When context disappears, alignment becomes fragile, decisions lose lineage, and AI makes everything faster… including the mistakes.
This publication gives you simple, powerful ways to:
reduce unnecessary ambiguity
prevent interpretive drift
lower the async cost of clarification
preserve reasoning inside decisions
rebuild shared understanding
reconnect information with explanation
help teams stop solving the wrong problem beautifully
You don’t need more tools.
You need a better way to make sense together.
That’s what InContextable is for.
If you want to go deeper
To understand the intellectual foundation behind all of this:
👉 The Philosophical Roots of InContextable
https://www.incontextable.com/p/the-philosophical-roots-of-incontextable
To explore the practical side — the small interpretive moves that prevent big downstream friction:
👉 InContextable Tools & Tips
https://www.incontextable.com/p/in-context-able-tools-and-tips
Welcome.
Let’s fix the part of work that technology can’t fix: meaning.